Open Innovation Competition, winners and expected outcome

We congratulate all the winners of our first Open Innovation Competition. All the winners will be awarded a grant of 50 000 Euro to develop additional digital functionalities for the DIY4U platform. These additional functionalities will enhance and extend the existing platform, supporting the innovative nature of the DIY4U approach.

Sales virtual assistant

Winner: Algomo Limited
Website: https://www.algomo.com/
Country: United Kingdom

Expected outcome: Algomo will develop and integrate a virtual assistant that helps the customers of DIY4U in a complete sales and acquisition process: from identification of needs, customization, payment and all the way to the customer satisfaction evaluation.

Monitoring Performance

Winner: Geoview Systems
Website: https://www.geoview.hu/
Country: Hungary

Expected outcome: Geoview will build a monitoring tool for in-depth analytics, tracking and measuring performance that includes 4 data harvesters (financial, customer, activity, resources analyzed and displayed into a dashboard component. Using this technology, the DIY4U platform administrator will be able to identify and measure the efficiency of the business model and possible improvements.

Decentralized payment

Winner: Ingenium Blockchain Technologies
Website:  https://ingeniumblockchaintechnologies.com/
Country: Romania

Expected outcome: Ingenium will extend the functionalities of the DIY4U platform by adding modules for processing payments. The technology will use a certified infrastructure for payments and over a blockchain network. Beside the processing of transactions, a business component will be added to allow splitting of transactions based on previously established commercial agreements from the supply chain.

Supply chain planning

Winner: Axiobit Limited
Website: https://axiobit.com/
Country: Ireland

Expected outcome: Axiobit will deliver a series of process-oriented components meant to collect and analyze data from the DIY4U platform that are related to supply chain forecasting. Based on the previously designed processes, they will design and develop a software module capable of offering supply chain planning features, enriched by visual tools and assisted by AI algorithms.